GPT Audio vs Seed 1.6 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT Audio — full profile › · Seed 1.6 — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | GPT Audio | Seed 1.6 | Winner |
|---|---|---|---|
| Maker | OpenAI | ByteDance Seed | – |
| Type | Proprietary | Proprietary | – |
| Context window | 128K tokens | 262K tokens | |
| Input price | $2.5/M | $0.25/M | |
| Output price | $10/M | $2/M | |
| Vision / multimodal | No | Yes | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Seed 1.6 is ~5.0× cheaper than GPT Audio on output tokens ($2 vs $10 per M tokens).
| Capability | GPT Audio | Seed 1.6 |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
| Criterion | GPT Audio | Seed 1.6 |
|---|---|---|
| Cost-efficiency | 3.5 | 4.5 |
| Context window | 3.5 | 4.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.
Seed 1.6 is cheaper on output ($2/M vs $10/M).
Seed 1.6 offers the larger context window (262K tokens).
Choose Seed 1.6 for the lower output price ($2/M vs $10/M). It also gives you the larger 262K context window.
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